Abstract— In recent years, advances in microelectronics have al- lowed the development of low-power, low-cost, and small devices with sensing, computing, and wireless communication capabilities. An important criterion on the design and operation of these devices is their energy consumptions. Two factors that affect the energy con- sumption of the sensor network are computation and communica- tion. The simple strategy of locally processing the acquired data and to transmit them, is not optimal from the energy consumption point of view, relative to other strategies based on distributed pro- cessing and successive transmission of partially processed data. In this paper, we analyze the energy tradeoff between computation and communication resources in order to minimize the total energy con- sumption. We propose a heuristic solution to the stated sensor net- work problem for a multimedia application using Strong Arm RISC processors [3] to perform certain data compression algorithm.

Energy Trade-off Between Computing and Communication Resource in Multimedia Surveillance Sensor Network

MANIEZZO, Daniela;MAZZINI, Gianluca
2002

Abstract

Abstract— In recent years, advances in microelectronics have al- lowed the development of low-power, low-cost, and small devices with sensing, computing, and wireless communication capabilities. An important criterion on the design and operation of these devices is their energy consumptions. Two factors that affect the energy con- sumption of the sensor network are computation and communica- tion. The simple strategy of locally processing the acquired data and to transmit them, is not optimal from the energy consumption point of view, relative to other strategies based on distributed pro- cessing and successive transmission of partially processed data. In this paper, we analyze the energy tradeoff between computation and communication resources in order to minimize the total energy con- sumption. We propose a heuristic solution to the stated sensor net- work problem for a multimedia application using Strong Arm RISC processors [3] to perform certain data compression algorithm.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1194630
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact